Approaches for Business Process oriented knowledge management

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GPO- KM Composition object Controlling Staff management c Prof. Dr.-Ing. Norbert Gronau, Universität Potsdam Apply Applicate knowledge Spread knowledge Business process oriented knowledge management (GPO-WM®) Process organization Value adding Business processes Corporate culture Create knowledge Save knowledge Information technology Guidance system Heisig (2002), S.55
Tool: Mo²Go c Prof. Dr.-Ing. Norbert Gronau, Universität Potsdam Business process oriented knowledge management (GPO-WM®) Heisig, 2002
Page 1 and 2: Universität Potsdam Lehrstuhl für
Page 3 and 4: Motivation for launch of Process Or
Page 5 and 6: Competitive factor knowledge Challe
Page 7 and 8: Knowledge management in practice -
Page 9 and 10: Knowledge intensity and process com
Page 11 and 12: Use of integrative consideration Co
Page 13 and 14: PROMOTE
Page 15 and 16: Differentiation between two knowled
Page 17 and 18: Examples of knowledge flows a. Insi
Page 19 and 20: Modelling with PROMOTE by example o
Page 21 and 22: Business Process- oriented Knowledg
Page 23 and 24: GPO- WM approach: Integrated busine
Page 25: Closed knowledge circuit Goal & Pro
Page 29 and 30: Concept Central point of contact is
Page 31 and 32: Knowledge structure diagrams Busine
Page 33 and 34: Advanced business process models Ex
Page 35 and 36: Tool: ARIS c Prof. Dr.-Ing. Norbert
Page 37 and 38: Collected experience from KM projec
Page 39 and 40: Explicit and implicit knowledge Met
Page 41 and 42: Introduction of KMDL methods
Page 43 and 44: KMDL development Goals Development
Page 45 and 46: KMDL procedural model 0 1 2 Project
Page 47 and 48: Process model Objects Example contr
Page 49 and 50: Information system and process inte
Page 51 and 52: Knowledge and information objects K
Page 53 and 54: Conversion method and function Conv
Page 55 and 56: Illustration of knowledge conversio
Page 57 and 58: Atomic conversions Person A Knowled
Page 59 and 60: Complex conversions Components Exam
Page 61 and 62: Analysis and evaluation processes R
Page 63 and 64: Modelling and analysis of processes
Page 65 and 66: Application area Knowledge transfer
Page 67 and 68: Analysis of Computer Mediated Commu
Page 69 and 70: Which information and functions nee
Page 71 and 72: K- Modelers user interface Navigato
Page 73 and 74: Control questions Which approach ha

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